AIMC Topic: Electronic Health Records
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Large language models for accurate disease detection in electronic health records: the examples of crystal arthropathies.
RMD open
Dec 20, 2024
OBJECTIVES: We propose and test a framework to detect disease diagnosis using a recent large language model (LLM), Meta's Llama-3-8B, on French-language electronic health record (EHR) documents. Specifically, it focuses on detecting gout ('goutte' in...
Automated feature selection for early keratoconus screening optimization.
Biomedical physics & engineering express
Dec 20, 2024
In this paper, an automated feature selection (FS) method is presented to optimize machine learning (ML) models' performances, enhancing early keratoconus screening. A total of 448 parameters were analyzed from a dataset comprising 3162 observations ...
Efficient analysis of drug interactions in liver injury: a retrospective study leveraging natural language processing and machine learning.
BMC medical research methodology
Dec 20, 2024
BACKGROUND: Liver injury from drug-drug interactions (DDIs), notably with anti-tuberculosis drugs such as isoniazid, poses a significant safety concern. Electronic medical records contain comprehensive clinical information and have gained increasing ...
Antitubercular Agents
Drug Interactions
Drug-Related Side Effects and Adverse Reactions
Isoniazid
Chemical and Drug Induced Liver Injury
Case-Control Studies
Logistic Models
Natural Language Processing
Adult
Male
Middle Aged
Humans
Machine Learning
Retrospective Studies
Electronic Health Records
Female
Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought: Algorithm Development and Validation Study.
JMIR medical informatics
Dec 20, 2024
BACKGROUND: Traditional rule-based natural language processing approaches in electronic health record systems are effective but are often time-consuming and prone to errors when handling unstructured data. This is primarily due to the substantial man...
Clinical and research applications of natural language processing for heart failure.
Heart failure reviews
Dec 19, 2024
Natural language processing (NLP) is a burgeoning field of machine learning/artificial intelligence that focuses on the computational processing of human language. Researchers and clinicians are using NLP methods to advance the field of medicine in g...
Detecting cardiovascular diseases using unsupervised machine learning clustering based on electronic medical records.
BMC medical research methodology
Dec 19, 2024
BACKGROUND: Electronic medical records (EMR)-trained machine learning models have the potential in CVD risk prediction by integrating a range of medical data from patients, facilitate timely diagnosis and classification of CVDs. We tested the hypothe...
Data-Driven Decision Support Tool Co-Development with a Primary Health Care Practice Based Learning Network.
F1000Research
Dec 19, 2024
BACKGROUND: The Alliance for Healthier Communities is a learning health system that supports Community Health Centres (CHCs) across Ontario, Canada to provide team-based primary health care to people who otherwise experience barriers to care. This ca...
OptimCLM: Optimizing clinical language models for predicting patient outcomes via knowledge distillation, pruning and quantization.
International journal of medical informatics
Dec 18, 2024
BACKGROUND: Clinical Language Models (CLMs) possess the potential to reform traditional healthcare systems by aiding in clinical decision making and optimal resource utilization. They can enhance patient outcomes and help healthcare management throug...
Large language models can accurately populate Vascular Quality Initiative procedural databases using narrative operative reports.
Journal of vascular surgery
Dec 16, 2024
OBJECTIVE: Participation in the Vascular Quality Initiative (VQI) provides important resources to surgeons, but the ability to do so is often limited by time and data entry personnel. Large language models (LLMs) such as ChatGPT (OpenAI) are examples...
Engineering of Generative Artificial Intelligence and Natural Language Processing Models to Accurately Identify Arrhythmia Recurrence.
Circulation. Arrhythmia and electrophysiology
Dec 16, 2024
BACKGROUND: Large language models (LLMs) such as Chat Generative Pre-trained Transformer (ChatGPT) excel at interpreting unstructured data from public sources, yet are limited when responding to queries on private repositories, such as electronic hea...
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